In a detailed article from The Conversation, Eloy Geenjaar of Georgia Tech explains how machine learning pretraining via gap-filling enhances bio-signal analysis in wearables. For example, by predicting missing data in heart rate signals, this technique improves early detection of atrial fibrillation and refines digital health monitoring.